Lee Chung-Hao, Oomen Pim J A, Rabbah Jean Pierre, Yoganathan Ajit, Gorman Robert C, Gorman Joseph H, Amini Rouzbeh, Sacks Michael S
The University of Texas at Austin, Austin TX 78712, USA.
Eindhoven University of Technology, Eindhoven, The Netherlands.
Funct Imaging Model Heart. 2013 Jun;7945:416-424. doi: 10.1007/978-3-642-38899-6_49.
Promising mitral valve (MV) repair concepts include leaflet augmentation and saddle shaped annuloplasty, and recent long-term studies have indicated that excessive tissue stress and the resulting strain-induced tissue failure are important etiologic factors leading to the recurrence of significant MR after repair. In the present work, we are aiming at developing a high-fidelity computational framework, incorporating detailed collagen fiber architecture, accurate constitutive models for soft valve tissues, and micro-anatomically accurate valvular geometry, for simulations of functional mitral valves which allows us to investigate the organ-level mechanical responses due to physiological loadings. This computational tools also provides a means, with some extension in the future, to help the understanding of the connection between the repair-induced altered stresses/strains and valve functions, and ultimately to aid in the optimal design of MV repair procedure with better performance and durability.
有前景的二尖瓣（MV）修复概念包括瓣叶增强和鞍形瓣环成形术，最近的长期研究表明，过度的组织应力以及由此产生的应变诱导组织破坏是导致修复后严重二尖瓣反流（MR）复发的重要病因。在本研究中，我们旨在开发一个高保真计算框架，该框架纳入详细的胶原纤维结构、针对软瓣膜组织的精确本构模型以及微观解剖学精确的瓣膜几何形状，用于模拟功能性二尖瓣，使我们能够研究生理负荷引起的器官水平力学响应。这种计算工具还提供了一种方法，在未来进行一些扩展后，有助于理解修复引起的应力/应变改变与瓣膜功能之间的联系，并最终有助于优化MV修复手术，以获得更好的性能和耐久性。
